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Precise Real-Time Factory Diagnostics Via Machine Learning - The RADE Algorithm
A Fuzzy System for Automotive Fault Diagnosis
Reinforcement Learning in the Control of a Simulated Life Support System
Machine Learning for Rocket Propulsion Health Monitoring
Machine Learning for Detecting and Locating Damage in a Rotating Gear
A Neural Network Based Methodology for Virtual Sensor Development
Phase Optimized Skeletal Mechanisms in a Stochastic Reactor Model for Engine Simulation
Rapid Prototyping of Machine Learning Systems
Stochastic Analysis of Controller Area Network Message Latencies with Observable Operator Models
Modeling Weather Impact on Ground Delay Programs
A Machine Learning Approach to Information Extraction from Cylinder Pressure Sensors
Modeling Weather Impact on Airport Arrival Miles-in-Trail Restrictions
Using a Statistical Machine Learning Tool for Diesel Engine Air Path Calibration
UAS Behaviour and Consistency Monitoring System for Countering Cyber Security Threats
Vibration Comfort Control for HEV Based on Machine Learning
Flow Field Data Mining Based on a Compact Streamline Representation
The Artificial Intelligence Application Strategy in Powertrain and Machine Control
Self-Learning Control Strategy for Electrified Off-Highway Machines to Optimize Energy Efficiency
A Supervisory Learning Based Two-Wheeler Drive Pattern
Recognizing Manipulated Electronic Control Units
The Detection of Visual Distraction using Vehicle and Driver-Based Sensors
“Ease of Driving” Road Classification for Night-time Driving Conditions
Development of a Device that Detects Knocking by Analyzing Engine Radiation noise
On Board Evaluation System for Advanced Driver Assistance Systems
Gain Customer Insights Using NLP Techniques
A Method of Reporting and Prioritizing Faults for Aircraft Downtime Reduction
Recognizing Driver Braking Intention with Vehicle Data Using Unsupervised Learning Methods
Technology from Highly Automated Driving to Improve Active Pedestrian Protection Systems
Machine Health Prediction Enhancement Using Machine Learning
SmartDeviceLink as an Open Innovation Platform for Connected Car Features and Mobility Applications
Driver Identification Using Multivariate In-vehicle Time Series Data
An Analysis of ISO 26262: Machine Learning and Safety in Automotive Software
Toward a Framework for Highly Automated Vehicle Safety Validation
Personalized Driver Workload Estimation in Real-World Driving
Practical Approaches for Detecting DoS Attacks on CAN Network
Using Machine Learning to Guide Simulations Over Unique Samples from Trip Profiles
Decisions in Highly Automated Vehicles for Passing Urban Intersections with Support Vector Machines
ERRATUM: Classification of Contact Forces in Human-Robot Collaborative Manufacturing Environments
Handling Deviation for Autonomous Vehicles after Learning from Small Dataset